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Effect of Non‐normality on Response to Selection in small Populations
Author(s) -
Rao M. Gopinath,
Jain J. P.
Publication year - 1981
Publication title -
biometrical journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.108
H-Index - 63
eISSN - 1521-4036
pISSN - 0323-3847
DOI - 10.1002/bimj.4710230509
Subject(s) - statistics , mathematics , normality , selection (genetic algorithm) , gamma distribution , parametric statistics , normal distribution , distribution (mathematics) , beta distribution , mathematical analysis , computer science , artificial intelligence
The expressions for the r ‐th largest standardised deviate have been derived for beta, gamma, exponential and log‐normal distributions. Using these expressions the intensities of selection have been computed for different parametric values of the distributions and of p , the proportion saved for samples of size upto 10 and compared with the corresponding values for normal distribution. The normal approximation to beta and gamma distributions is seen to be quite robust in predicting response to selection under moderately heavy and low cullings.